Your browser does not support JavaScript!

Scaling AI in the financial sector​

Wednesday 16 September

Location :

ROOM 1

Speakers

Public Authoritiess
Olivier Fliche
Director, Innovation, Data and Technological Risks Directorate - Autorité de Contrôle Prudentiel et de Résolution (ACPR)
Damian Jaworski
Executive Director - European Insurance and Occupational Pensions Authority (EIOPA)
Steven Maijoor
Executive Board Member and Chair of Supervision - De Nederlandsche Bank (DNB)
Marius Skuodis
Member of the Board - Bank of Lithuania
Industry Representativess
Stephen Martin
Head of FSI Security and Compliance EMEA & APJ - Amazon Web Services (AWS)
Dera McIoughin
Partner, Ireland - Forvis Mazars
Michal Paprocki
Chief Technology Officer - Euroclear Group
Emily Prince
Group Head of Enterprise AI - LSEG

Session overview

This session will assess the progress, value and transformation potential of AI deployment in the EU financial sector, the conditions needed for effective scaling, the associated risks and third-party dependencies, and whether the EU regulatory, supervisory and policy framework is sufficient or further measures are needed to support responsible adoption. the policy responses required to support responsible adoption.

Points of discussion

1. AI deployment trends, opportunities and challenges

How advanced is the deployment of AI across the EU financial sector, and is the pace of adoption sufficient to strengthen the competitiveness of European financial institutions and markets? Where is AI delivering the greatest value, and to what extent could it significantly transform financial services? What are the main operational and economic conditions for scaling AI, and which risks are most significant?

2. Policy and operational responses to support the effective scaling of AI in financial services

Is the EU digital and financial regulatory framework fit for purpose to support the responsible scaling of AI in the financial sector? What further regulatory, supervisory or operational measures may be needed to improve the conditions for large-scale deployment and address emerging risks? Does more need to be done to manage AI-related third-party dependencies and concentration risks?